Abstract
The present system shows a position detection of a person in the sitting position by means of an accelerometer sensor and the implementation of data analysis stages of prototype selection and supervised classification. As a result, an optimal training matrix with a 100% classification performance is obtained. Finally, an interface is presented that shows the own decision of the system.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Rabin, A., Portnoy, S., Kozol, Z.: The association between visual assessment of quality of movement and three-dimensional analysis of pelvis, hip, and knee kinematics during a lateral step down test. J. Strength Conditioning Res. 30(11), 3204–3211 (2016)
Hughes, G.: A Review of recent perspectives on biomechanical risk factors associated with anterior cruciate ligament injury. Res. Sports Med. 22(2), 193–212 (2014). https://www.tandfonline.com/doi/full/10.1080/15438627.2014.881821
Boissoneault, J., Sevel, L., Letzen, J., Robinson, M., Staud, R.: Biomarkers for musculoskeletal pain conditions: use of brain imaging and machine learning. Curr. Rheumatol. Rep. 19(1), 5 (2017). http://link.springer.com/10.1007/s11926-017-0629-9
Cicchetti, D.V.: Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol. Assess. 6(4), 284–290 (1994). http://doi.apa.org/getdoi.cfm?doi=10.1037/1040-3590.6.4.284
Hallgren, K.A.: Computing inter-rater reliability for observational data: an overview and tutorial. Tutorials Quant. Methods Psychol. 8(1), 23–34 (2012). http://www.tqmp.org/RegularArticles/vol08-1/p023
Lin, J.F.S., Kulić, D.: Human pose recovery using wireless inertial measurement units. Physiol. Meas. 33(12), 2099–2115 (2012). http://stacks.iop.org/0967-3334/33/i=12/a=2099?key=crossref.c3f211bf3d71a7a7f4d15b291c37b3f4
Das, D., Busetty, S.M., Bharti, V., Hegde, P.K.: Strength training: a fitness application for indoor based exercise recognition and comfort analysis. In: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1126–1129. IEEE, December 2017. http://ieeexplore.ieee.org/document/8260796/
Nunez-Godoy, S., Alvear-Puertas, V., Realpe-Godoy, S., Pujota-Cuascota, E., Farinango-Endara, H., Navarrete-Insuasti, I., Vaca-Chapi, F., Rosero-Montalvo, P., Peluffo, D.H.: Human-sitting-pose detection using data classification and dimensionality reduction. In: 2016 IEEE Ecuador Technical Chapters Meeting (ETCM), pp. 1–5. IEEE, October 2016. http://ieeexplore.ieee.org/document/7750822/
Rosero-Montalvo, P., Peluffo-Ordonez, D.H., Umaquinga, A., Anaya, A., Serrano, J., Rosero, E., Vasquez, C., Suarez, L.: Prototype reduction algorithms comparison in nearest neighbor classification for sensor data: empirical study. In: 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), pp. 1–5. IEEE, October 2017. http://ieeexplore.ieee.org/document/8247530/
Barshan, E., Ghodsi, A., Azimifar, Z., Zolghadri Jahromi, M.: Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds. Pattern Recogn. 44(7), 1357–1371 (2011). http://linkinghub.elsevier.com/retrieve/pii/S0031320310005819
Kuncheva, L.I.: Editing for the k-nearest neighbors rule by a genetic algorithm. Pattern Recogn. Lett. 16(8), 809–814 (1995). http://linkinghub.elsevier.com/retrieve/pii/016786559500047K
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Rosero-Montalvo, P.D. et al. (2020). An Intelligent System for Detecting a Person Sitting Position to Prevent Lumbar Diseases. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2019. FTC 2019. Advances in Intelligent Systems and Computing, vol 1069. Springer, Cham. https://doi.org/10.1007/978-3-030-32520-6_60
Download citation
DOI: https://doi.org/10.1007/978-3-030-32520-6_60
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32519-0
Online ISBN: 978-3-030-32520-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)